R&D AI-Ready Data Modeling Manager

USA - 3316 Takeda Development Center Americas, Inc.; Cambridge (MA); Hybrid; USD 116,000 - 182,000; Full time

Job summary

Takeda Cambridge, MA — hybrid role focused on leading AI-ready data modeling for R&D data assets. You will design conceptual, logical, and physical models, translating scientific requirements into scalable structures while aligning with enterprise standards and governance.

Collaborate with data engineers, domain leads, and AI teams to enable AI/ML use cases, data pipelines, and standardized data hubs. A degree in a relevant field and experience in data modeling are required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Bioinformatics, or related field.
• Relevant experience in data modeling, data architecture, or data engineering.
• Experience working with structured data in complex environments (life sciences / R&D preferred).
• Demonstrated R&D domain experience preferred.
• Conceptual, logical, and physical data modeling.
• Data modeling tools and techniques.
• Data platforms (e.g., data lakes, warehouses, APIs).
• Shared data assets and schema design.
• AI/ML or advanced analytics use cases (preferred).
• Ontologies or semantic modeling (nice to have).

Responsibilities

• Design and develop conceptual, logical, and physical data models for R&D data assets.
• Translate business and scientific requirements into structured, scalable data models.
• Support modeling delivery across Research and Clinical domains in partnership with senior domain leads.
• Apply modeling practices that enable: AI/ML and advanced analytics use cases.
• Consistent data inputs and context for downstream consumption.
• Structure data to improve usability, reusability, and alignment with AI-enabled workflows.
• Contribute to evolving practices for AI-ready data and standardized context generation.
• Contribute to development of reusable schemas, templates, and shared data models.
• Apply enterprise standards, ontologies, and naming conventions in model design.
• Promote reuse of shared data assets through data hubs, APIs, and standardized structures.
• Partner with domain experts to align models with scientific and operational needs.
• Data engineers and architects to ensure models are implementable.
• Data scientists to support analytics and AI/ML requirements.
• Contribute to integration of data models into data pipelines and AI-enabled workflows.
• Incorporate data quality rules, metadata, and lineage into model design.
• Ensure models align with enterprise data governance standards and support trusted, fit-for-purpose data.

Skills

Data modeling

Data architecture

Data engineering

AI/ML use cases

Communication

Collaboration

Problem solving

Learning agility

Execution & delivery

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Bioinformatics, or related field

Tools

Data lakes

Data warehouses

APIs

Job description

Takeda Cambridge, MA — hybrid role focused on leading AI-ready data modeling for R&D data assets. You will design conceptual, logical, and physical models, translating scientific requirements into scalable structures while aligning with enterprise standards and governance.

Collaborate with data engineers, domain leads, and AI teams to enable AI/ML use cases, data pipelines, and standardized data hubs. A degree in a relevant field and experience in data modeling are required.